Cross-sectional HIV incidence estimation in HIV prevention research.

@article{Brookmeyer2013CrosssectionalHI,
  title={Cross-sectional HIV incidence estimation in HIV prevention research.},
  author={Ron Brookmeyer and Oliver Laeyendecker and Deborah Donnell and Susan H Eshleman},
  journal={Journal of acquired immune deficiency syndromes},
  year={2013},
  volume={63 Suppl 2},
  pages={S233-9}
}
Accurate methods for estimating HIV incidence from cross-sectional samples would have great utility in prevention research. This report describes recent improvements in cross-sectional methods that significantly improve their accuracy. These improvements are based on the use of multiple biomarkers to identify recent HIV infections. These multiassay algorithms (MAAs) use assays in a hierarchical approach for testing that minimizes the effort and cost of incidence estimation. These MAAs do not… CONTINUE READING

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